Inference Functional Data Applications (25 results)
Language: English
Published by Springer, 2012
Series: Springer Series in Statistics, Book 127 of 160. Book 127 of 160 - Springer Series in Statistics
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Language: English
Published by Springer, 2012
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Published by Springer, 2012
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Language: English
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Language: English
Published by Springer, 2012
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Published by Springer-Verlag New York Inc., US, 2012
Series: Springer Series in Statistics, Book 127 of 160. Book 127 of 160 - Springer Series in Statistics
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Hardback. Condition: New. 2012 ed.
Language: English
Published by Springer, 2014
Series: Springer Series in Statistics, Book 127 of 160. Book 127 of 160 - Springer Series in Statistics
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More imagesLanguage: English
Published by Humana, 2014
Series: Springer Series in Statistics, Book 127 of 160. Book 127 of 160 - Springer Series in Statistics
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Taschenbuch. Condition: Neu. Inference for Functional Data with Applications | Lajos Horváth (u. a.) | Taschenbuch | Springer Series in Statistics | xiv | Englisch | 2014 | Humana | EAN 9781489990525 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[d…ot]com | Anbieter: preigu.
Language: English
Published by Springer, 2014
Series: Springer Series in Statistics, Book 127 of 160. Book 127 of 160 - Springer Series in Statistics
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Language: English
Published by Springer, Humana, 2012
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents recently developed statistical methods and theory required for the application of the tools of functional data analysis to problems arising in geosciences, finance, economics and biology. It is concerned with inference based on second o…rder statistics, especially those related to the functional principal component analysis. While it covers inference for independent and identically distributed functional data, its distinguishing feature is an in depth coverage of dependent functional data structures, including functional time series and spatially indexed functions. Specific inferential problems studied include two sample inference, change point analysis, tests for dependence in data and model residuals and functional prediction. All procedures are described algorithmically, illustrated on simulated and real data sets, and supported by a complete asymptotic theory. The book can be read at two levels. Readers interested primarily in methodology will find detailed descriptions of the methods and examples of their application. Researchers interested also in mathematical foundations will find carefully developed theory. The organization of the chapters makes it easy for the reader to choose an appropriate focus. The book introduces the requisite, and frequently used, Hilbert space formalism in a systematic manner. This will be useful to graduate or advanced undergraduate students seeking a self-contained introduction to the subject. Advanced researchers will find novel asymptotic arguments.
Language: English
Published by Springer-Verlag New York Inc., US, 2012
Series: Springer Series in Statistics, Book 127 of 160. Book 127 of 160 - Springer Series in Statistics
- Hardcover
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Hardback. Condition: New. 2012 ed.
Language: English
Published by Springer, Humana, 2014
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- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents recently developed statistical methods and theory required for the application of the tools of functional data analysis to problems arising in geosciences, finance, economics and biology. It is concerned with inference based on s…econd order statistics, especially those related to the functional principal component analysis. While it covers inference for independent and identically distributed functional data, its distinguishing feature is an in depth coverage of dependent functional data structures, including functional time series and spatially indexed functions. Specific inferential problems studied include two sample inference, change point analysis, tests for dependence in data and model residuals and functional prediction. All procedures are described algorithmically, illustrated on simulated and real data sets, and supported by a complete asymptotic theory. The book can be read at two levels. Readers interested primarily in methodology will find detailed descriptions of the methods and examples of their application. Researchers interested also in mathematical foundations will find carefully developed theory. The organization of the chapters makes it easy for the reader to choose an appropriate focus. The book introduces the requisite, and frequently used, Hilbert space formalism in a systematic manner. This will be useful to graduate or advanced undergraduate students seeking a self-contained introduction to the subject. Advanced researchers will find novel asymptotic arguments.
Language: English
Published by Springer Verlag, 2012
Series: Springer Series in Statistics, Book 127 of 160. Book 127 of 160 - Springer Series in Statistics
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Hardcover. Condition: Brand New. 2012 edition. 436 pages. 9.25x6.25x1.25 inches. In Stock.
Language: English
Published by Springer, 2014
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Language: English
Published by Springer, 2012
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Language: English
Published by Springer New York, 2012
Series: Springer Series in Statistics, Book 127 of 160. Book 127 of 160 - Springer Series in Statistics
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Definitive text for graduate or advanced undergraduate students seeking a self-contained introduction to the subject Advanced researchers will benefit from novel asymptotic arguments All procedures described… algorithmically, illustrated on simulated and rea.
Language: English
Published by Springer New York, 2014
Series: Springer Series in Statistics, Book 127 of 160. Book 127 of 160 - Springer Series in Statistics
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Definitive text for graduate or advanced undergraduate students seeking a self-contained introduction to the subject Advanced researchers will benefit from novel asymptotic arguments All proce…dures described algorithmically, illustrated on simulated and rea.
Language: English
Published by Springer, Humana Mai 2012, 2012
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents recently developed statistical methods and theory required for the application of the tools of functional data analysis to problems arising in geosciences, finance, economics and biology. It is concerned with inference b…ased on second order statistics, especially those related to the functional principal component analysis. While it covers inference for independent and identically distributed functional data, its distinguishing feature is an in depth coverage of dependent functional data structures, including functional time series and spatially indexed functions. Specific inferential problems studied include two sample inference, change point analysis, tests for dependence in data and model residuals and functional prediction. All procedures are described algorithmically, illustrated on simulated and real data sets, and supported by a complete asymptotic theory. The book can be read at two levels. Readers interested primarily in methodology will find detailed descriptions of the methods and examples of their application. Researchers interested also in mathematical foundations will find carefully developed theory. The organization of the chapters makes it easy for the reader to choose an appropriate focus. The book introduces the requisite, and frequently used, Hilbert space formalism in a systematic manner. This will be useful to graduate or advanced undergraduate students seeking a self-contained introduction to the subject. Advanced researchers will find novel asymptotic arguments. 436 pp. Englisch.
Language: English
Published by Springer, Humana Jun 2014, 2014
Series: Springer Series in Statistics, Book 127 of 160. Book 127 of 160 - Springer Series in Statistics
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents recently developed statistical methods and theory required for the application of the tools of functional data analysis to problems arising in geosciences, finance, economics and biology. It is concerned with infe…rence based on second order statistics, especially those related to the functional principal component analysis. While it covers inference for independent and identically distributed functional data, its distinguishing feature is an in depth coverage of dependent functional data structures, including functional time series and spatially indexed functions. Specific inferential problems studied include two sample inference, change point analysis, tests for dependence in data and model residuals and functional prediction. All procedures are described algorithmically, illustrated on simulated and real data sets, and supported by a complete asymptotic theory. The book can be read at two levels. Readers interested primarily in methodology will find detailed descriptions of the methods and examples of their application. Researchers interested also in mathematical foundations will find carefully developed theory. The organization of the chapters makes it easy for the reader to choose an appropriate focus. The book introduces the requisite, and frequently used, Hilbert space formalism in a systematic manner. This will be useful to graduate or advanced undergraduate students seeking a self-contained introduction to the subject. Advanced researchers will find novel asymptotic arguments. 436 pp. Englisch.
Language: English
Published by Springer-Verlag New York Inc., 2012
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Language: English
Published by Springer, Humana Mai 2012, 2012
Series: Springer Series in Statistics, Book 127 of 160. Book 127 of 160 - Springer Series in Statistics
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents recently developed statistical methods and theory required for the application of the tools of functional data analysis to problems arising in geosciences, finance, economics and biology. It is concerned with inference based… on second order statistics, especially those related to the functional principal component analysis. While it covers inference for independent and identically distributed functional data, its distinguishing feature is an in depth coverage of dependent functional data structures, including functional time series and spatially indexed functions. Specific inferential problems studied include two sample inference, change point analysis, tests for dependence in data and model residuals and functional prediction. All procedures are described algorithmically, illustrated on simulated and real data sets, and supported by a complete asymptotic theory.The book can be read at two levels. Readers interested primarily in methodology will find detailed descriptions of the methods and examples of their application. Researchers interested also in mathematical foundations will find carefully developed theory. The organization of the chapters makes it easy for the reader to choose an appropriate focus. The book introduces the requisite, and frequently used, Hilbert space formalism in a systematic manner. This will be useful to graduate or advanced undergraduate students seeking a self-contained introduction to the subject. Advanced researchers will find novel asymptotic arguments.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 436 pp. Englisch.
Language: English
Published by Springer, Humana Jun 2014, 2014
Series: Springer Series in Statistics, Book 127 of 160. Book 127 of 160 - Springer Series in Statistics
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents recently developed statistical methods and theory required for the application of the tools of functional data analysis to problems arising in geosciences, finance, economics and biology. It is concerned with inferenc…e based on second order statistics, especially those related to the functional principal component analysis. While it covers inference for independent and identically distributed functional data, its distinguishing feature is an in depth coverage of dependent functional data structures, including functional time series and spatially indexed functions. Specific inferential problems studied include two sample inference, change point analysis, tests for dependence in data and model residuals and functional prediction. All procedures are described algorithmically, illustrated on simulated and real data sets, and supported by a complete asymptotic theory.The book can be read at two levels. Readers interested primarily in methodology will find detailed descriptions of the methods and examples of their application. Researchers interested also in mathematical foundations will find carefully developed theory. The organization of the chapters makes it easy for the reader to choose an appropriate focus. The book introduces the requisite, and frequently used, Hilbert space formalism in a systematic manner. This will be useful to graduate or advanced undergraduate students seeking a self-contained introduction to the subject. Advanced researchers will find novel asymptotic arguments.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 436 pp. Englisch.
Language: English
Published by Springer, 2014
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Language: English
Published by Springer, 2014
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Condition: New. PRINT ON DEMAND pp. 438.
